An Adaptive Signal-Based Security Framework for DCI Concealment in Sawtooth Periodic Wave Signals Using Lightweight Encryption and Dynamic Embedding
Hamid Jassam Mohammed
Faculty of Engineering, Cybersecurity Engineering Department, Al-Karkh University of Science, Baghdad, IRAQ
Najlaa Ghazi Thajeel
Information Technology Division, Department of Studies and Planning, Al-Karkh University of Science, Baghdad, IRAQ
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http://doi.org/10.37648/ijps.v21i01.020
Abstract
In this work, we introduce an adaptive security model to conceal DCI within SPWS. The proposed framework integrates lightweight encryption with dynamic signal embedding algorithms in order to provide greater information confidentiality while maintaining signal stability under different transmission circumstances. We do not follow standard watermarking algorithms or fixed modulation modes, but the framework instead dynamically changes the waveform behavior on the basis of channel stability and signal variation, which is presumably able to reduce the likelihood of successful signal analysis or interception. To compound the system’s security layer further, the DCI payload is encrypted before any embedding step with a lightweight cryptographic mechanism optimized for low-complexity communications. This is especially the case in systems in which trade-offs between computational power and transmission efficiency should be balanced. In this manner, this is an adaptive embedding process that adjusts certain signal waveforms in a controlled way (e.g., keeping the hidden data less noticeable but the signal quality acceptable). Performance of this framework was evaluated in terms of signal-to-noise ratios (SNR), Bit Error Rate (BER), and extraction accuracy for a few different levels of noise. These results imply that the alternative performance of the proposed technique is greater robustness and significantly less detectable than that of conventional signal hiding methods. By means of these results, we propose that the framework might provide some practical benefits toward secure communication infrastructures, IoT-based signal transmission, and intelligent signal processing applications that require lightweight but reliable protection strategies.
Keywords:
SPWS; Sawtooth Wave; Cybersecurity; Information Technology; DCI Concealment; Signal Security; Lightweight Encryption; Adaptive Embedding; Signal Processing.
References
- Adewuyi, James. (2025). An Innovative Image Steganographic Framework for Optimizing Hiding Capacity Using Adaptive Embedding Techniques.
- Ali, Salman, & Anwer, Faisal. (2025). A Novel Lightweight Framework for Secure and Efficient IoT Communication Using Chaotic Cryptography and Adaptive Steganography. IEEE Transactions on Dependable and Secure Computing.
- Ali, Tarek, Al-Khalidi, Mohammed, Bashir, Ali Kashif, & Alghamdi, Norah S. (2026). Robust μ-Channel Estimation for IoT and 6G Edge Devices via Defensive Distillation. IEEE Internet of Things Journal.
- Ansari, Shaharyar Alam, & Ali, Salman. (2025). A systematic review of lightweight cryptographic schemes for security and privacy in IoT. Discover Computing, 28(1), 266.
- Bao, Yu, Xie, Zumao, Li, Yonggang, Li, YueXin, & Wang, Zhongbing. (2025). VSAT: Variational Spectrum-Attention Transformer for Fault Diagnosis of Rotary Machine Monitoring. IEEE Transactions on Reliability.
- Cedillo-Hernandez, Antonio, Velazquez-Garcia, Lydia, Garcia-Ugalde, Francisco Javier, & Cedillo-Hernandez, Manuel. (2026). Deep Learning-Based Video Watermarking: A Robust Framework for Spatial–Temporal Embedding and Retrieval. Future Internet, 18(2), 104.
- Chen, Can, Li, Lei, Zhang, Long, Ren, Danping, & Wu, Xiaoyu. (2025). An adaptive semantic communication method for tropospheric over-the-horizon transmission integrating radio meteorology. Physical Communication, 73, 102895.
- DA, Lavanya Vaishnavi, & Kumar, Anil. (2025). Evaluating Supervised Learning Classifier Performance for OFDM Communication in AWGN-Impacted Systems. Results in Engineering, 26, 105178.
- Duan, Zhuoying, Chang, Zikai, Xie, Ning, Sun, Weize, & Niyato, Dusit. (2025). Adaptive strategies in enhancing physical layer security: A comprehensive survey. ACM Computing Surveys, 57(7), 1-36.
- Georgieva-Tsaneva, Galya N, Cheshmedzhiev, Krasimir, Dechev, Miroslav, & Tsanev, Yoan-Aleksandar. (2025). A Privacy-Preserving Architecture for Biomedical Signal Acquisition and Transmission Using Hybrid Cryptography and Regulatory-Aware Protocols. Paper presented at the 2025 International Conference Automatics and Informatics (ICAI).
- Habib, Sana. (2026). Spoof Testing of Synthetic Radio Frequency Waveforms via Generative Machine Learning Methods. The George Washington University,
- Kryachko, AF, & Tyurina, AI. (2025). Diffraction of a Nonharmonic Signal on a Spatially Periodic Structure of a Sawtooth Profile. Paper presented at the 2025 Systems of Signals Generating and Processing in the Field of on Board Communications.
- Li, Kexin, Hu, Xiao, Grishchenko, Ilya, & Lie, David. (2025). HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal. arXiv preprint arXiv:2511.21577.
- Li, Yue, Zhang, He, Liu, Bohan, Dong, Liming, Gong, Haojie, & Rong, Guoping. (2024). Verification and validation of software process simulation models: A systematic mapping study. Journal of Software: Evolution and Process, 36(6), e2612.
- Lu, Zhaoyi, Xu, Wenchao, Hua, Cunqing, Tu, Ming, & Xie, Xin. (2025). Identity-Preserving Covert Communication With Generative Perturbation. IEEE Transactions on Network Science and Engineering.
- Mohammed , H. J. Software Concept and Knowledge Extraction for Data Mining In Healthcare Sectors. International Journal of Basic and Applied Sciences, 15(1), 177-192. https://doi.org/10.14419/472vp602. ((2026)). Software Concept and Knowledge Extraction for Data Mining In Healthcare Sectors. International Journal of Basic and Applied Sciences.
- Nadizar, Giorgia. (2025). Towards Bio-Inspired Interpretable Embodied Artificial Intelligence.
- Patel, Viral, & Maltare, Nilesh. (2025). From Algorithms to Connectivity: A Comprehensive Review of Traffic Signal Optimization and Communication Based Cooperative Control. Archives of Computational Methods in Engineering, 1-31.
- Prokop, Kamil. (2025). Edge Implementation of an Adaptive Wavelet Transform for Improved Smart Grid Sensor Data Compression.
- Thajeel, N. G., & Mohammed, H. J. (2026). Image Encryption Via Hybrid Chaotic Algorithms. . Journal of Lifestyle and SDGs Review, 6(1). doi:https://doi.org/10.47172/2965-730X.SDGsReview.v6.n01.pe08094
- Thajeel, Najlaa Ghazi, Mohammed, Hamid Jassam, Mohammed, Ali Abdulwahhab, Hussein, Saif Safaa, & Abdulwahhab, Ali H. (2025). A Secure File Sharing Using Computer Engineering Techniques. Paper presented at the International Conference on Digital Age & Technological Advances for Sustainable Development.
- Trabelsi, Oussama, Sfaxi, Lilia, & Robbana, Riadh. (2025). DCC: A high-performance distributed encryption framework for large volumes of data. IEEE Transactions on Dependable and Secure Computing.
- Valiev, Saidanvar Esanjonovich, Okafor, Anthony C, Hungund, Abhishek Prakash, & Huang, Jie. (2025). Frequency domain transmitometry for corrosion damage detection and evaluation of the effect of corrosion on reflected signals in aircraft data transmission lines. Measurement, 251, 117189.
- Wei, Xue, & Saha, Dola. (2023). WISE: Waveform Independent Signal Embedding for Covert Communication. IEEE Transactions on Machine Learning in Communications and Networking, 2, 64-80.
- Zhang, Yifan, Gao, Xunzhang, Xia, Jingyuan, Li, Weijie, Zhang, Shuanghui, Liu, Li, & Li, Xiang. (2025). ASC-SepNet: Enhancing robust SAR ground target recognition via attribute scattering center and separability dual-driven learning. IEEE Transactions on Aerospace and Electronic Systems, 61(5), 11308-11324.
